Covid-19 Project in Python

Table of Contents

1. Importing Libraries and Dataset/Observing the Dataframe

2. Modifying the Dataset

3. Global Numbers - Total Covid Cases vs Total Covid Deaths

4. Total Covid Cases/Deaths by Continent

5. Covid Infection Rates

Note: The dataset was preprocessed in Microsoft Excel to add the total_cases column as

as it was not available in the original dataset. The total_cases column tabulates the total

number of cases over time as they are added in the new_cases column for each location in the dataset

1. Importing Libraries and Dataset/Observing the Dataframe

2. Modifying the Dataset

2a. Splitting the Dataframe

2b. Cleaning/Manipulating the two new Covid Dataframes

i. Checking for and Removing Nulls

ii. Creating Month, Day, Year columns/Changing Datatypes

3. Global Numbers - Total Covid Cases vs Total Covid Deaths

4. Total Covid Cases/Deaths by Continent

5. Covid Infection Rates